4.7 Article

A MIMO Propagation Channel Model in a Random Medium

Journal

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
Volume 58, Issue 1, Pages 178-186

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAP.2009.2036189

Keywords

Channel capacity; communications; multiple input-multiple output (MIMO); rain; random media

Funding

  1. National Science Foundation [ECS-0601394, ECCS-0925034]
  2. Office of Naval Research [N00014-07-1-0428, N00014-07-1-0600]
  3. AROMURI [W911NF-07-1-0287]

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Multiple input-multiple output systems have received considerable attention because of their potential to achieve high channel capacity. This paper presents a study of the effects of a random scattering medium on channel capacity. Formulations are given including stochastic Green's functions and mutual coherence functions. Transmitter and receiver characteristics are included and analytical formulation for eigenvalues and channel capacities are given in terms of the medium scattering characteristics, optical depth, frequency, number of transmitter and receiver elements, transmitting power, and noise spectral power. As an example, we show 500 m link at 60 GHz through rain. The eigenvalues and the channel capacity are calculated in terms of SNR and the rain rate representing the optical depth. It is shown that as the rain rate increases, the correlation of waves at antennas decreases and the capacity increases. However, at high rain rate, the capacity tends to decrease due to the absorption and scattering.

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